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Record W3184836207 · doi:10.3986/dd.2021.2.07

COVID-19, Racial Capitalism, and Undocumented Bangladeshi Agricultural Workers in Manolada, Greece

2021· article· en· W3184836207 on OpenAlex
Reena Kukreja

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTwo Homelands · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsDeportationCapitalismMigrant workersCoronavirus disease 2019 (COVID-19)Race (biology)AgriculturePolitical scienceRacializationImmigrationDemographic economicsCriminologySociologyGender studiesEconomic growthGeographyLawEconomicsPoliticsMedicine

Abstract

fetched live from OpenAlex

This article uses the example of undocumented Bangladeshi migrants in the strawberry sector of Greece to highlight how racial capitalism heightens the health vulnerabilities of racialized low-class migrant workers and exposes them to a greater risk of COVID-19 transmission. Race-based devaluation of workers intersects with migrant illegality and culturally-specific masculine norms to normalize a discourse of healthcare “undeservingness” for undocumented racialized migrants. Unfree labor is legislated through restrictive migrant labor laws and selective detention and deportation of “illegal” migrants. Structural and systemic discriminations increase health precarities for undocumented agricultural workers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.396
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it